Category: Simple Linear Regression
How to Calculate Coefficient of Determination (R Squared) in Simple Linear Regression
In simple linear regression analysis, the coefficient of determination (R Squared) is one of the outputs that can be used to see the goodness of fit model. Data processing using statistical software, almost all of them, in one of the outputs, show the value of the coefficient of determination. This time, I will write an article on how to calculate the coefficient of determination (r squared) in simple linear regression.
How to Calculate bo and b1 Coefficient Manually in Simple Linear Regression
In conducting data analysis, we not only need to know how to analyze and interpret the results, but we also need to understand how to calculate manually. Calculating manually simple linear regression becomes essential, especially for researchers or students deepening econometrics or statistics. Did you know it turns out that doing simple linear regression calculations can be done easily? Manual linear regression calculations can be completed using a calculator or excel.
Simple Linear Regression Analysis and Interpreting the Output in SPSS
Researchers often choose linear regression analysis to determine the effect of the independent variable on the dependent variable. Simple linear regression was used to analyze the regression model with only one independent variable. There are many benefits of using simple linear regression analysis. Based on that, Kanda Data on this occasion will share a simple linear regression analysis tutorial and how to interpret the output in SPSS.
How to Calculate Y Predicted and Residual Values in Simple Linear Regression
The residual value in linear regression analysis needs to be calculated first before calculating the variance. In addition, the linear regression of the ordinary least square method must pass the assumption test that the residuals must be normally distributed. However, before calculating the residual value, you must first calculate the predicted Y value. Therefore, we will discuss how to calculate the predicted Y value and residual value on this occasion.
The Formula for Calculation of the Determination Coefficient (R Square) Simple Linear Regression
The coefficient of determination in regression analysis has an important function. Therefore, it is not surprising that various research papers using regression analysis will generally always bring up the value of the coefficient of determination. Based on this, Kanda data will write this topic to be discussed together. This article continues the previous week’s theme, which discussed manually calculating the coefficients bo and b1 in simple linear regression.
How to Calculate Coefficients bo and b1 of Simple Linear Regression Manually in Excel
Linear regression analysis is generally the choice of researchers to test the effect of one variable on other variables. Various scientific fields, both exact and social sciences, have used this analysis. Maybe you are very familiar with the stages of analysis and how to interpret using this simple linear regression analysis. However, do you understand the chronology of getting the values from the analysis results? It is also important to know and understand well. Based on this background, Kanda Data will discuss manual calculations for simple linear regression analysis on this occasion.
How to Calculate a Simple Linear Regression using Excel
In statistics, simple linear regression analysis consists of only two variables. The two variables are one dependent variable and one independent variable. On this occasion, we will discuss how to calculate a simple linear regression using Excel.